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The impact of China's differential electricity pricing policy on power sector CO2 emissions

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  • Hu, Junfeng
  • Kahrl, Fredrich
  • Yan, Qingyou
  • Wang, Xiaoya

Abstract

This article investigates the impact of China's differential electricity pricing policy on power sector CO2 emissions using the logarithmic mean divisia index method. The differential pricing policy, intended to reduce energy intensity in manufacturing, is being implemented in eight electricity-intensive industries. The study finds that, during 2004–2009, the policy accounted for a drop of roughly 115TWh in electricity use, which amounted to a reduction of 82 million tons of CO2 emissions. The policy has been most effective in reducing electricity use in the nonferrous metal smelting and rolling industry, and least effective in the ferrous metal smelting and rolling industry. Because the differential pricing policy has had significantly different effects across industries, improving the policy's design and implementation going forward will require a more detailed understanding and analysis of how it can be better tailored to individual industries.

Suggested Citation

  • Hu, Junfeng & Kahrl, Fredrich & Yan, Qingyou & Wang, Xiaoya, 2012. "The impact of China's differential electricity pricing policy on power sector CO2 emissions," Energy Policy, Elsevier, vol. 45(C), pages 412-419.
  • Handle: RePEc:eee:enepol:v:45:y:2012:i:c:p:412-419
    DOI: 10.1016/j.enpol.2012.02.049
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    as
    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Papagiannaki, Katerina & Diakoulaki, Danae, 2009. "Decomposition analysis of CO2 emissions from passenger cars: The cases of Greece and Denmark," Energy Policy, Elsevier, vol. 37(8), pages 3259-3267, August.
    3. Wu, Libo & Kaneko, Shinji & Matsuoka, Shunji, 2005. "Driving forces behind the stagnancy of China's energy-related CO2 emissions from 1996 to 1999: the relative importance of structural change, intensity change and scale change," Energy Policy, Elsevier, vol. 33(3), pages 319-335, February.
    4. Ang, B.W. & Mu, A.R. & Zhou, P., 2010. "Accounting frameworks for tracking energy efficiency trends," Energy Economics, Elsevier, vol. 32(5), pages 1209-1219, September.
    5. Ipek Tunç, G. & Türüt-AsIk, Serap & AkbostancI, Elif, 2009. "A decomposition analysis of CO2 emissions from energy use: Turkish case," Energy Policy, Elsevier, vol. 37(11), pages 4689-4699, November.
    6. Kawase, Reina & Matsuoka, Yuzuru & Fujino, Junichi, 2006. "Decomposition analysis of CO2 emission in long-term climate stabilization scenarios," Energy Policy, Elsevier, vol. 34(15), pages 2113-2122, October.
    7. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    8. Shrestha, Ram M. & Anandarajah, Gabrial & Liyanage, Migara H., 2009. "Factors affecting CO2 emission from the power sector of selected countries in Asia and the Pacific," Energy Policy, Elsevier, vol. 37(6), pages 2375-2384, June.
    9. Zhou, P. & Ang, B.W., 2008. "Decomposition of aggregate CO2 emissions: A production-theoretical approach," Energy Economics, Elsevier, vol. 30(3), pages 1054-1067, May.
    10. Malla, Sunil, 2009. "CO2 emissions from electricity generation in seven Asia-Pacific and North American countries: A decomposition analysis," Energy Policy, Elsevier, vol. 37(1), pages 1-9, January.
    11. Wang, Can & Chen, Jining & Zou, Ji, 2005. "Decomposition of energy-related CO2 emission in China: 1957–2000," Energy, Elsevier, vol. 30(1), pages 73-83.
    12. Cai, Wenjia & Wang, Can & Wang, Ke & Zhang, Ying & Chen, Jining, 2007. "Scenario analysis on CO2 emissions reduction potential in China's electricity sector," Energy Policy, Elsevier, vol. 35(12), pages 6445-6456, December.
    13. Donglan, Zha & Dequn, Zhou & Peng, Zhou, 2010. "Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis," Energy Policy, Elsevier, vol. 38(7), pages 3377-3383, July.
    14. Ma, Chunbo & Stern, David I., 2008. "Biomass and China's carbon emissions: A missing piece of carbon decomposition," Energy Policy, Elsevier, vol. 36(7), pages 2517-2526, July.
    15. Ang, B.W. & Liu, F.L. & Chung, Hyun-Sik, 2004. "A generalized Fisher index approach to energy decomposition analysis," Energy Economics, Elsevier, vol. 26(5), pages 757-763, September.
    16. Lin, Boqiang & Liu, Jianghua, 2011. "Principles, effects and problems of differential power pricing policy for energy intensive industries in China," Energy, Elsevier, vol. 36(1), pages 111-118.
    17. Dong, Yanli & Ishikawa, Masanobu & Liu, Xianbing & Wang, Can, 2010. "An analysis of the driving forces of CO2 emissions embodied in Japan-China trade," Energy Policy, Elsevier, vol. 38(11), pages 6784-6792, November.
    18. Liu, Lan-Cui & Fan, Ying & Wu, Gang & Wei, Yi-Ming, 2007. "Using LMDI method to analyze the change of China's industrial CO2 emissions from final fuel use: An empirical analysis," Energy Policy, Elsevier, vol. 35(11), pages 5892-5900, November.
    19. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    20. Oh, Ilyoung & Wehrmeyer, Walter & Mulugetta, Yacob, 2010. "Decomposition analysis and mitigation strategies of CO2 emissions from energy consumption in South Korea," Energy Policy, Elsevier, vol. 38(1), pages 364-377, January.
    21. Ang, B.W. & Liu, Na, 2007. "Energy decomposition analysis: IEA model versus other methods," Energy Policy, Elsevier, vol. 35(3), pages 1426-1432, March.
    22. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    23. Ang, B.W. & Huang, H.C. & Mu, A.R., 2009. "Properties and linkages of some index decomposition analysis methods," Energy Policy, Elsevier, vol. 37(11), pages 4624-4632, November.
    24. Ang, B.W. & Liu, Na, 2007. "Negative-value problems of the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 739-742, January.
    25. Wang, Ke & Wang, Can & Lu, Xuedu & Chen, Jining, 2007. "Scenario analysis on CO2 emissions reduction potential in China's iron and steel industry," Energy Policy, Elsevier, vol. 35(4), pages 2320-2335, April.
    26. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    27. Gingrich, Simone & Kusková, Petra & Steinberger, Julia K., 2011. "Long-term changes in CO2 emissions in Austria and Czechoslovakia--Identifying the drivers of environmental pressures," Energy Policy, Elsevier, vol. 39(2), pages 535-543, February.
    28. Sheinbaum, Claudia & Ozawa, Leticia & Castillo, Daniel, 2010. "Using logarithmic mean Divisia index to analyze changes in energy use and carbon dioxide emissions in Mexico's iron and steel industry," Energy Economics, Elsevier, vol. 32(6), pages 1337-1344, November.
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    Cited by:

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    2. Zhou, Kaile & Yang, Shanlin & Shen, Chao & Ding, Shuai & Sun, Chaoping, 2015. "Energy conservation and emission reduction of China’s electric power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 10-19.
    3. Wang, Li & Zhang, Xin-Hua & Zhang, Yue-Jun, 2023. "Designing the pricing mechanism of residents’ self-selection sales electricity based on household size," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 860-878.
    4. Li, Qiang & Zhang, Wenjuan & Li, Huiquan & He, Peng, 2017. "CO2 emission trends of China's primary aluminum industry: A scenario analysis using system dynamics model," Energy Policy, Elsevier, vol. 105(C), pages 225-235.
    5. Zheng, Xuemei & Wu, Chengkuan & He, Shijun, 2021. "Impacts of China's differential electricity pricing on the productivity of energy-intensive industries," Energy Economics, Elsevier, vol. 94(C).
    6. Bilgili, Faik & Mugaloglu, Erhan & Koçak, Emrah, 2018. "The impact of oil prices on CO2 emissions in China: A Wavelet coherence approach," MPRA Paper 90170, University Library of Munich, Germany.
    7. Liu, Nan & Ma, Zujun & Kang, Jidong, 2017. "A regional analysis of carbon intensities of electricity generation in China," Energy Economics, Elsevier, vol. 67(C), pages 268-277.
    8. Lo, Kevin, 2014. "A critical review of China's rapidly developing renewable energy and energy efficiency policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 508-516.
    9. Zhang, Pan & Wang, Huan, 2022. "Do provincial energy policies and energy intensity targets help reduce CO2 emissions? Evidence from China," Energy, Elsevier, vol. 245(C).
    10. Gung, Roger R. & Huang, Chun-Che & Hung, Wen-I & Fang, Yu-Jie, 2020. "The use of hybrid analytics to establish effective strategies for household energy conservation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    11. Chen, Xia & Wang, Li & Tong, Lige & Sun, Shufeng & Yue, Xianfang & Yin, Shaowu & Zheng, Lifang, 2013. "Energy saving and emission reduction of China's urban district heating," Energy Policy, Elsevier, vol. 55(C), pages 677-682.
    12. Qu, Jianying & Li, Ke & Ye, Ze & Shao, Shuai, 2022. "The impact of differential power pricing policy on firm productivity in China: Evidence from iron and steel firms," Journal of Asian Economics, Elsevier, vol. 80(C).
    13. Haibing Wang & Bowen Li & Muhammad Qasim Khan, 2022. "Prediction of Shanghai Electric Power Carbon Emissions Based on Improved STIRPAT Model," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    14. Yang, Mian & Yuan, Yining & Sun, Chuanwang, 2021. "The economic impacts of China's differential electricity pricing policy: Evidence from energy-intensive firms in Hunan Province," Energy Economics, Elsevier, vol. 94(C).

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